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AAAI
2007
15 years 3 months ago
A Multi-Agent Approach to Distributed Rendering Optimization
Physically based rendering is the process of generating a 2D om the abstract description of a 3D Scene. Despite the development of various new techniques and algorithms, the compu...
Carlos Gonzalez-Morcillo, Gerhard Weiss, Luis Jim&...
CVPR
1998
IEEE
16 years 3 months ago
The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
Michael A. Greenspan
NIPS
2008
15 years 2 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ICASSP
2009
IEEE
15 years 8 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
DGCI
2011
Springer
14 years 5 months ago
Some Morphological Operators on Simplicial Complex Spaces
In this work, we propose a framework that allows to build morphological operators for processing and filtering objects defined on t) simplicial complex spaces. We illustrate with...
Fabio Dias, Jean Cousty, Laurent Najman